Nvidia is poised to make a major play in the AI sector with a reported $13 billion acquisition of Hugging Face, a platform that allows developers to share and build open-weight AI models. This move comes on the heels of Nvidia's $6 billion agreement with Poolside, an open-weight model builder, and Stripe's $7 billion acquisition of OpenRouter, the top provider of open-weight models to businesses.

The acquisition is seen as a strategic move by Nvidia to reduce its dependence on deals with major hyperscalers and frontier labs, which are increasingly building their own inference chips. By taking control of Hugging Face, Nvidia will gain access to a vast user base that it can drive to its chips and standards. The company already builds its own Nemotron family of open-weight models, but their uptake has been limited.

Open-weight models are currently used by only 6% of companies, according to a survey by Ramp, but their adoption is growing. Nik Albarran, AI product lead at Jellyfish, notes that these models are primarily used by companies with high-volume tasks that require repeated inference workloads, such as customer service chats. As companies dial in their AI workflows, it will become easier to turn to open models, Albarran says.

Lin Qiao, CEO of Fireworks, a leading open-weight models router and host for corporate users, believes that model diversity will be key to the future of AI. As LLMs proliferate and improve, it will become easier for companies to train them specifically for their needs. "Every single app company should consider hiring an in-house researcher," Qiao says. "They can use their product and product data to build their own model. The future is actually specialized intelligence."

The dominance of OpenAI and Anthropic in the AI sector is not inevitable, and the allure of open technology is proving tough to resist. As tech giants look to hedge their bets on the biggest labs, the acquisition of Hugging Face by Nvidia could mark a significant shift in the AI landscape.

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